Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.
Build and maintain a portfolio of AI-first APIs across platform services including our core platform components, KDB, Airflow, configuration services, observability tooling, storage platforms and alerting systems.
Front-End & Back-End Integration: Participate in web application development, seamlessly integrating AI capabilities (API / LLM services) into business systems to deliver intuitive user experiences.
Dealer & Sales Alignment: Formulate robust training frameworks supporting Sales, Aftersales, and the authorized dealer network to elevate brand service standards and customer satisfaction.
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains
Collaborate closely with Product, ML/Algorithm, and Design teams to align prompts with product feature logic, ensuring quality and stability across critical user journeys.
The role provides technical authority across AI platform strategy, foundation models, agentic AI, model lifecycle management, AI engineering frameworks and platform capabilities. It works closely with Enterprise Architecture, AI Platform Engineering, AI Platform Operations, Cybersecurity, AI Solution Architects and business stakeholders. Success means continuously evolving an interoperable, reliable and enterprise-ready AI platform while providing technical direction to architects and engineers.
Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.